Abstract
“EGAT Eco Plus” is a smart city initiative of Electricity Generating Authority of Thailand (EGAT). To design the cloud infrastructure to support applications in the smart city, we need a modular design model which can dynamically adjust requirements and system parameters. This paper proposes the concept of smart city cloud controller which aims to provide so-called green service resource allocation by maximizing green i.e. renewable energy usage for data centers. Based on our formulated linear programming, our proposed SCCC model can provide green service resource allocation for data centers by maximizing the green energy usage. We evaluate the SCCC formulation with the green energy usage per each data center and overall of green energy usage in optimizing green metrics. Afterward, we compare our model with a well-known algorithm for solving the resource allocation problem i.e. round-robin. The model can be applied in the smart city whose data centers have different accessibility to on-site renewable energy sources. Besides, the proposed model can adjust parameters which are design criteria for green computing; the size of tasks, different power sources; and can be used as design guidelines for green computing in smart cities with more than one power source; grid, on-site renewable energy, battery energy storage.
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Acknowledgements
The first author is grateful to Electricity Generating Authority of Thailand (EGAT) to support the Master degree research scholarship.
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Thirasupa, R., Saivichit, C., Aswakul, C. (2020). Cloud Infrastructure Design Model for Green Smart City: Case Study of Electricity Generating Authority of Thailand. In: Kim, K., Kim, HY. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 621. Springer, Singapore. https://doi.org/10.1007/978-981-15-1465-4_15
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DOI: https://doi.org/10.1007/978-981-15-1465-4_15
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